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- W3091837265 endingPage "108585" @default.
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- W3091837265 abstract "Despite the immense work done within the domain of vibration and noise mitigation, still many features related to chatter remains unexplored. Researchers had suggested techniques to explore the mechanism of tool chatter based on acquired chatter spectrum. However, the effect of background noise have been overlooked. In present study, recorded chatter signal have been pre-processed using empirical mode decomposition (EMD). Thereafter, obtained intrinsic mode functions (IMFs) have been subsequently analyzed to identify the most dominating IMF pertaining to tool chatter. Further, a new parameter chatter index (CI) has been evaluated for each corresponding IMFs as a response. Moreover, prediction model has been generated using response surface methodology, in order to establish the dependency of tool chatter on various machining parameters. Finally, more experiments have been conducted to validate the aforesaid chatter severity model. Well correlation between the experimental results and predicted ones authenticates the proposed technique." @default.
- W3091837265 created "2020-10-15" @default.
- W3091837265 creator A5025160354 @default.
- W3091837265 creator A5044196068 @default.
- W3091837265 date "2021-03-01" @default.
- W3091837265 modified "2023-10-16" @default.
- W3091837265 title "Tool chatter prediction based on empirical mode decomposition and response surface methodology" @default.
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- W3091837265 doi "https://doi.org/10.1016/j.measurement.2020.108585" @default.
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